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Harness launched a new code repository with AI-powered code review designed for teams using AI coding agents, featuring scoped permissions and risk-based diff grouping to integrate review policies directly into the agent workflow.
The article explains that AI review loops in code development can become unstable due to inconsistent AI opinions, scope creep, and hallucinations, as shown in a test with Opus 5.
A hands-on review of Qwen 3.8 Max, highlighting its speed, strong planning and simplification skills, experimental rigor, and creative implementation abilities.
This paper investigates how rhetorical framing biases AI-based peer review scores, finding that evidence framing and novelty stance have the largest effects and that score movements depend on the reviewer's initial score and evaluation strictness.
An experience report from BOSC 2026 on using generative AI to pre-review open-source software submissions, with human reviewers making final decisions. Most reviewers found the AI-assisted pre-review useful but preferred to verify AI conclusions independently.
Elon Musk tweets a link to a positive review of Grok 4.5.
Chintan Turakhia, engineering lead at Coinbase, shares how the team used AI for code review, reducing PR review time from 150 hours to 15 hours, and setting a record of merging 70 PRs in 15 minutes. He emphasizes focusing on solving problems rather than just talking about adopting AI.
The author built an AI-powered PR review workflow that generates actual fix PRs instead of just comments, claiming to be 6x cheaper than CodeRabbit and more accurate on large PRs.